Agenda

  

Monday, September 10
08:00 AM - 05:00 PM

(Preconference - Option 1) Applied MCH Epidemiology for Local Health Departments and their Partners

Data and program staff who are employed by or partnering with local health departments are invited to attend this introduction to the specialized world of Maternal and Child Health Epidemiology at the local level. We will introduce data sources (e.g. vital records, ACS, BRFSS) and access points (e.g. CDC Wonder, County Health Rankings) that provide the bases for common measures of both MCH outcomes and risk factors, including social and environmental factors. We will practice methods for gleaning useful information from these data sources, including the Perinatal Periods of Risk (PPOR), and techniques for using data to prioritizing among problems and risk factors. We will consider ways to overcome problems related to small numbers and small areas. Most importantly, we will discuss methods and strategies for bringing community members into the process, to improve the analysis, interpretation, communication, and use of data. Attendees are asked to bring laptops with spreadsheet software.

Trainers:
Pamela Xaverius, PhD
Associate Professor of Epidemiology
Director of Maternal and Child Health Program
Saint Louis University

Carol Gilbert, MS
Statistician, Senior Health Data Analyst
CityMatCH

Aileen Duldulao, PhD, MSW
MCH Epidemiologist
Multnomah County Health Department
Data and program staff who are employed by or partnering with local health departments are invited to attend this introduction to the specialized world of Maternal and Child Health Epidemiology at the...
08:00 AM - 05:00 PM

(Preconference - Option 2) Leveraging Quality Improvement Tools to Transform MCH

Quality improvement (QI) has been utilized by many agencies to transform health. QI tools are often seen as relevant only to clinical processes with little application to large scale population health issues. Join this hands-on, interactive session to explore how QI tools can help you understand and address issues affecting maternal and child health.

By the end of the session participants will be able to:
• Discuss the importance and usefulness of QI tools in helping transform population health
• Apply QI tools (e.g. voice of the customer, force field analysis, root cause analysis, rapid cycle testing, etc.) to maternal and child health issues
• Identify opportunities in your current work to use QI tools

Trainers: Public Health Improvement Partners
Quality improvement (QI) has been utilized by many agencies to transform health. QI tools are often seen as relevant only to clinical processes with little application to large scale population health...
08:00 AM - 05:00 PM

(Preconference - Option 3) Data Visualization in Public Health Settings: A Hands-on Workshop for MCH Epidemiologists

This session will repeat on Tuesday, September 11, 2018.

In this session, participants will learn to communicate data-driven findings to diverse audiences, examine the role of context in motivating the visualization of data, and use software to visualize common types of data collected for maternal and child health outcomes. The first hour of the session will consist of short lectures and interactive discussions. For the remainder of the session, participants will gain hands-on experience using RStudio in creating simple visualizations that concisely convey essential findings from sometimes large and complex data sets. At the end of the workshops, participants will be able to communicate their findings using simple visualizations to multiple audiences they encounter in daily public health settings. All registered participants are expected to bring their own laptop with a functional version of RStudio. Instructions for installing RStudio will be provided to registered participants two weeks prior to the session.

Learning objectives:
1. Communicate data-driven findings to diverse audiences (e.g., internal reports, social media and blog posts, community engagement).
2. Examine the role of context in motivating the visualization of data.
3. Know how to prepare and store data prior to visualization.
4. Demonstrate the use of software (e.g., RStudio) to visualize data collected in public health settings.
5. Examine the unintended consequences of data visualizations for public health issues.

Trainers:
Ayaz Hyder, PhD
Assistant Professor, Division of Environmental Health Sciences
Affiliated Faculty, Translational Data Analytics
College of Public Health, The Ohio State University
This session will repeat on Tuesday, September 11, 2018. In this session, participants will learn to communicate data-driven findings to diverse audiences, examine the role of context in motivating t...